- Natural Language Processing
- Supervised Learning
- Data Manipulation
- Data Preprocessing
- Scikit Learn (Machine Learning Library)
- Python Programming
- Unsupervised Learning
- Pandas (Python Package)
- Classification Algorithms
- Text Mining
- Feature Engineering
Applied Text Mining in Python
Completed by Yuliia Zavalniuk
May 22, 2020
25 hours (approximately)
Yuliia Zavalniuk's account is verified. Coursera certifies their successful completion of Applied Text Mining in Python
What you will learn
Understand how text is handled in Python
Apply basic natural language processing methods
Write code that groups documents by topic
Describe the nltk framework for manipulating text
Skills you will gain
